Towards an Image Encryption Scheme with Content-Based Image Retrieval Properties

Henrique João Lopes Domingos

doi:10.1007/978-3-319-17016-9_20

Towards an Image Encryption Scheme with Content-Based Image Retrieval Properties

Henrique João Lopes Domingos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper we introduce a new secure cryptographic scheme, named IES-CBIR, specifically designed for images and their outsourced storage and retrieval in large private image repositories. Our solution enables both encrypted storage and querying using Content Based Image Retrieval (CBIR), while preserving privacy. We have implemented a prototype system around the proposed scheme, and experimentally analyzed its performance when compared to similar proposals for privacy-preserving image retrieval. Our results show that IES-CBIR allows more efficient operations than existing proposals, both in terms of time and space overheads, while enabling less restrictive application scenarios. LookInside Chapter Metrics Downloads100 Provided byBookmetrix Other actions Export citation About this Book Reprints and Permissions Add to Papers Share Share this content on FacebookShare this content on TwitterShare this content on LinkedIn

Original language	English
Title of host publication	Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance
Publisher	Springer
Pages	311-318
ISBN (Electronic)	978-3-319-17016-9
ISBN (Print)	978-3-319-17015-2
DOIs	https://doi.org/10.1007/978-3-319-17016-9_20
Publication status	Published - 2015
Event	DPM 2014 - 9th International Workshop on Data Privacy Management, ESORICS 2014 - Duration: 1 Jan 2014 → …

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Number	8872
ISSN (Print)	0302-9743

Conference

Conference	DPM 2014 - 9th International Workshop on Data Privacy Management, ESORICS 2014
Period	1/01/14 → …

Access to Document

10.1007/978-3-319-17016-9_20

http://link.springer.com/chapter/10.1007/978-3-319-17016-9_20

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Cite this

Domingos, H. J. L. (2015). Towards an Image Encryption Scheme with Content-Based Image Retrieval Properties. In Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance (pp. 311-318). (Lecture Notes in Computer Science; No. 8872). Springer. https://doi.org/10.1007/978-3-319-17016-9_20

@inproceedings{29cdfe844e9e4b2c89cfbe723de4deca,

title = "Towards an Image Encryption Scheme with Content-Based Image Retrieval Properties",

abstract = "In this paper we introduce a new secure cryptographic scheme, named IES-CBIR, specifically designed for images and their outsourced storage and retrieval in large private image repositories. Our solution enables both encrypted storage and querying using Content Based Image Retrieval (CBIR), while preserving privacy. We have implemented a prototype system around the proposed scheme, and experimentally analyzed its performance when compared to similar proposals for privacy-preserving image retrieval. Our results show that IES-CBIR allows more efficient operations than existing proposals, both in terms of time and space overheads, while enabling less restrictive application scenarios. LookInside Chapter Metrics Downloads100 Provided byBookmetrix Other actions Export citation About this Book Reprints and Permissions Add to Papers Share Share this content on FacebookShare this content on TwitterShare this content on LinkedIn",

keywords = "Data and computation outsourcing, Privacy-preserving content-based image retrieval (CBIR), Encrypted data processing",

author = "Domingos, {Henrique Jo{\~a}o Lopes}",

year = "2015",

doi = "10.1007/978-3-319-17016-9_20",

language = "English",

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pages = "311--318",

booktitle = "Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance",

}

Domingos, HJL 2015, Towards an Image Encryption Scheme with Content-Based Image Retrieval Properties. in Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance. Lecture Notes in Computer Science, no. 8872, Springer, pp. 311-318, DPM 2014 - 9th International Workshop on Data Privacy Management, ESORICS 2014, 1/01/14. https://doi.org/10.1007/978-3-319-17016-9_20

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AB - In this paper we introduce a new secure cryptographic scheme, named IES-CBIR, specifically designed for images and their outsourced storage and retrieval in large private image repositories. Our solution enables both encrypted storage and querying using Content Based Image Retrieval (CBIR), while preserving privacy. We have implemented a prototype system around the proposed scheme, and experimentally analyzed its performance when compared to similar proposals for privacy-preserving image retrieval. Our results show that IES-CBIR allows more efficient operations than existing proposals, both in terms of time and space overheads, while enabling less restrictive application scenarios. LookInside Chapter Metrics Downloads100 Provided byBookmetrix Other actions Export citation About this Book Reprints and Permissions Add to Papers Share Share this content on FacebookShare this content on TwitterShare this content on LinkedIn

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KW - Privacy-preserving content-based image retrieval (CBIR)

KW - Encrypted data processing

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